Maryam Pourmajidian and her colleagues from the University of Malaya have, in cooperation with Glen M. Davis from the University of Sydney, presented the results of their research work on MC at the Functional Electrical Stimulation Society Annual Conference (IFESS), 2014 IEEE 19th International Conference. Their pilot investigation was conducted on the measurement of muscle performance during voluntary exercise using the MC-Sensor. Surface electromyography (sEMG) and the torque output from an isokinetic dynamometer were used as references for a comparative assessment of the MC-sensor data. Five able-bodied subjects performed isokinetic knee extension at 90 deg• s-1 and 120 deg• s-1. Correlation coefficients (r) between the muscle tension data from the MC-sensor, sEMG and Biodex were calculated using Microsoft Excel and a high correlation was observed with an average value of 0.82 to 0.91 at 90 deg• s1, and 0.77 to 0.90 at 120 deg• s-1, respectively. A stronger association was observed between the MC-sensor and Biodex, compared to MC-EMG and Biodex-EMG. This might be due to reported complications in achieving an accurate force-EMG ratio. However, further research is necessary to establish the reliability of the mechanomyogram sensors before muscle tension can be utilized as a proxy for muscle force during functional electrical stimulation (FES)-evoked exercise and/or functional movements. You can find more details here.

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